Data Scientist for Predictive Modeling and Business Growth

7 days ago


Remote, Czech Republic PAR Data Central Full time

About the Role:

As a Data Scientist at PAR Data Central, you will play a key part in our mission to become the number-one restaurant technology company worldwide. Your expertise in predictive modeling and data analysis will be instrumental in driving business growth and enhancing our platform's capabilities.

We are seeking an experienced AI/ML Engineer who can design, implement, train, and fine-tune machine learning models that handle large datasets. You will focus on developing forecasting models based on economic trends, consumer behavior, and historical data.

You will work closely with cross-functional teams, including software engineers and product owners, to align AI/ML capabilities with business goals. Additionally, you will contribute to architectural decisions regarding the choice of frameworks and tech stacks for solutions.

The ideal candidate has at least 4 years of hands-on experience as an AI/ML Engineer or Data Scientist with a strong focus on predictive modeling and data analysis. You should have proficiency in machine learning frameworks and libraries such as TensorFlow, PyTorch, Scikit-learn, etc.

Key Responsibilities:

  • Design and develop machine learning models that forecast demand trends and improve inventory control
  • Collaborate with cross-functional teams to align AI/ML capabilities with business goals
  • Contribute to architectural decisions regarding the choice of frameworks and tech stacks for solutions
  • Mentor a team in the field of AI/ML

Requirements:

  • At least 4 years of hands-on experience as an AI/ML Engineer or Data Scientist
  • Proficiency in machine learning frameworks and libraries such as TensorFlow, PyTorch, Scikit-learn, etc.
  • Strong programming skills in Python, R, or C#
  • Experience working with time series data, forecasting models, and event-driven analytics
  • Knowledge of natural language processing (NLP) and its applications in query optimization
  • Experience with large datasets and data preprocessing
  • Strong analytical skills with the ability to interpret complex data sets and provide actionable insights
  • Excellent problem-solving abilities and a passion for innovation
  • Eagerness to learn and experiment with new tools
  • Proficiency in English (B2+)

Preferred Skills:

  • Experience with cloud platforms, preferably Microsoft Azure services
  • Familiarity with tools like Tableau, Power BI, or similar data visualization tools
  • Experience with A/B testing and other experimental design methodologies
  • Publications or contributions to the AI/ML community

What We Offer:

PAR Data Central offers a generous remuneration package that includes a competitive salary of $120,000 - $150,000 per year, depending on experience, plus benefits such as sick leave days, unbonded PTO, and opportunities for professional growth and development.



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